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Home/ Questions/Q 6621897
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Editorial Team
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Editorial Team
Asked: May 25, 20262026-05-25T21:19:55+00:00 2026-05-25T21:19:55+00:00

There is a Mongo collection with >5 Million items. I need to get a

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There is a Mongo collection with >5 Million items. I need to get a “representation” (held in a variable, or put into a file on disk, anything at this point) of a single attribute of all of the ‘documents’.

My query is something like this:

cursor = db.collection.find({"conditional_field": {"subfield": True}}, {"field_i_want": True})

My first, silly, attempt was to Pickle ‘cursor’, but I quickly realized it doesn’t work like that.

In this case, “field_i_want” contains an Integer. And as an example of something I’ve tried, I did this, and practically locked up the server for several minutes:

ints = [i['field_i_want'] for i in cursor]

… to just get a list of the integers. This hogged CPU resources on the server for far too long.

Is there a remotely simple way to retrieve these results into a list, tuple, set, pickle, file, something, that won’t totally hog the cpu?

Ideally I could dump the results to be read back in later. But I’d like to be as kind as possible while dumping them.

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  1. Editorial Team
    Editorial Team
    2026-05-25T21:19:56+00:00Added an answer on May 25, 2026 at 9:19 pm

    I think that streaming the results is likely to help here:

    with open("/path/to/storage/file", "w") as f:
        for row in cursor:
            f.write(row['your_field'])
    

    Don’t hold everything in memory if you don’t have to.

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